Objective: To determine the clinical efficacy of platelet-rich plasma (PRP) injection combined with warm acupuncture and moxibustion for treating patients with knee osteoarthritis and cold dampness obstruction syndrome. Methods: One hundred and twenty-eight patients with knee osteoarthritis and cold dampness obstruction syndrome who visited the Rehabilitation Department and Orthopedics Department of the Second Affiliated Hospital of Anhui University of Chinese Medicine from January 2023 to March 2024 and who met the inclusion and exclusion criteria were randomly divided into an experimental (n=64) and control group (n=64) using the random number table method. The experimental group was treated with PRP injection combined with warm acupuncture and moxibustion, whereas the control group was treated with normal saline injection combined with warm acupuncture and moxibustion treatment. PRP and normal saline injections were administered once every two weeks, a total of four times. Patients were treated with warm acupuncture and moxibustion once a day, six times a week, for four consecutive weeks. The Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Traditional Chinese Medicine (TCM) syndrome, visual analog scale (VAS), and Lysholm scores were determined before treatment, at week 4 and week 8 of treatment, and week 16 of follow-up. Serum interleukin-6 (IL-6), matrix metalloproteinase-3 (MMP-3), tumor necrosis factor-α (TNF-α), osteoprotegerin (OPG), bone gla protein(BGP), and cartilage oligomeric matrix protein (COMP) levels were compared between the two groups before and after 8 weeks of treatment. The clinical efficacy and safety indicators between the two groups were also compared. Results: There was no statistical difference in baseline data such as gender, age, disease duration, and body mass index between the two groups of patients. Compared with before treatment, both groups showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm scores at 4, 8, and 16 weeks after treatment. After treatment, serum IL-6, MMP-3, TNF-α, and COMP levels decreased, whereas serum OPG and BGP levels increased (P<0.05). Compared with the control group, patients in the experimental group showed decreased WOMAC total and subscale, TCM syndrome total score and symptom scores, and VAS scores, and an increase in Lysholm score at 4, 8, and 16 weeks after treatment. Compared with the control group, patients in the experimental group showed decreased serum IL-6, MMP-3, TNF-α, and COMP levels and an increase in serum OPG and BPG levels after treatment (P<0.05). The total effective rate of the experimental group was 91.94%, higher than that of the control group (81.97%; P<0.05). Conclusion PRP injection combined with warm acupuncture and moxibustion can improve various TCM symptoms, improve knee joint function and bone metabolism, and reduce inflammation in patients with knee osteoarthritis and cold dampness obstruction syndrome.

OBJECTIVE: To observe the effect of Huayu Tongluo moxibustion on the NOD-like receptor protein 3 (NLRP3)/cysteine-aspartic acid protease-1 (Caspase-1)/gasdermin D (GSDMD) signaling pathway in rats with vascular dementia (VD), and to explore its mechanism in improving learning and memory ability and alleviating neuronal injury in the hippocampal CA1 region. METHODS: A total of 80 SPF-grade male Wistar rats were included. Three rats were excluded based on the Morris water maze test. From the remaining rats, 12 were randomly selected as the sham operation group. The rest were used to establish VD models via modified bilateral common carotid artery ligation. Thirty-six successfully modeled rats were randomly divided into a model group, a medication group, and a moxibustion group, with 12 rats in each group. The medication group was treated with nimodipine solution (12 mg/kg) via gavage. The moxibustion group was treated with Huayu Tongluo moxibustion. The suspended moxibustion was applied at Shenting (GV24) and Dazhui (GV14), and aconite cake-separated moxibustion was applied at Baihui (GV20), with each acupoint treated for 20 min. All treatments were administered once daily for 21 consecutive days. Before and after modeling, and after intervention, the Morris water maze test was used to assess cognitive function. After intervention, the activation and morphology of microglia in the hippocampal CA1 region were observed by immunofluorescence. Ultrastructure of hippocampal CA1 neurons was examined by transmission electron microscopy. Western blot was used to detect protein expression of NLRP3, apoptosis-associated speck-like protein (ASC), Caspase-1, GSDMD, and interleukin-1β (IL-1β) in the hippocampal CA1 region. ELISA was used to detect the content of IL-6, IL-8, and tumor necrosis factor-α (TNF-α) in the hippocampal CA1 region. RESULTS: Compared with the sham operation group, the model group showed longer mean escape latency (P<0.01) and fewer platform crossings (P<0.01); the microglial processes in the hippocampal CA1 region were thickened, cytoplasm was hypertrophic, and relative fluorescence intensity of ionized calcium-binding adapter molecule 1 (IBA-1) was increased (P<0.05); the neuronal ultrastructure in the CA1 region was severely damaged, rough endoplasmic reticulum was swollen, mitochondria were deformed and swollen, some cristae were ruptured or dissolved, showing vacuolar changes; the protein expression of NLRP3, ASC, Caspase-1, GSDMD, and IL-1β, as well as levels of IL-6, IL-8, and TNF-α were significantly elevated (P<0.001). Compared with the model group, both the medication group and the moxibustion group showed shortened mean escape latency (P<0.01) and increased platform crossings (P<0.01); the microglial processes were thinner, and IBA-1 fluorescence intensity was decreased (P<0.05); the neuronal ultrastructure in the CA1 region was partially improved; the protein expression of NLRP3, ASC, Caspase-1, GSDMD, and IL-1β, and levels of IL-6, IL-8, and TNF-α were significantly reduced (P<0.001). Compared with the medication group, the moxibustion group showed shortened mean escape latency (P<0.05) and more platform crossings (P<0.05); the IBA-1 fluorescence intensity was decreased (P<0.05); the neuronal ultrastructure in the CA1 region was improved; the protein expression of NLRP3, ASC, Caspase-1, GSDMD, and IL-1β, as well as levels of IL-6, IL-8, and TNF-α, were significantly lower (P<0.001). CONCLUSION The Huayu Tongluo moxibustion could enhance learning and memory abilities in VD rats, inhibit excessive activation of microglia, and alleviate neuronal injury in the hippocampal CA1 region. Its mechanism may involve modulation of the NLRP3/Caspase-1/GSDMD signaling pathway, reduction of inflammatory responses.
Animals ; Male ; Dementia, Vascular/physiopathology* ; Rats ; Signal Transduction ; Moxibustion ; Rats, Wistar ; CA1 Region, Hippocampal/injuries* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Caspase 1/genetics* ; Memory ; Humans ; Neurons/metabolism* ; Learning

BACKGROUND: Hypertension is a serious chronic disease that can significantly lead to various cardiovascular diseases, affecting vital organs such as the heart, brain, and kidneys. Our goal is to predict the risk of new onset hypertension using machine learning algorithms and identify the characteristics of patients with new onset hypertension. METHODS: We analyzed data from the 2011 China Health and Nutrition Survey cohort of individuals who were not hypertensive at baseline and had follow-up results available for prediction by 2015. We tested and evaluated the performance of four traditional machine learning algorithms commonly used in epidemiological studies: Logistic Regression, Support Vector Machine, XGBoost, LightGBM, and two deep learning algorithms: TabNet and AMFormer model. We modeled using 16 and 29 features, respectively. SHAP values were applied to select key features associated with new onset hypertension. RESULTS: A total of 4,982 participants were included in the analysis, of whom 1,017 developed hypertension during the 4-year follow-up. Among the 16-feature models, Logistic Regression had the highest AUC of 0.784(0.775∼0.806). In the 29-feature prediction models, AMFormer performed the best with an AUC of 0.802(0.795∼0.820), and also scored the highest in MCC (0.417, 95%CI: 0.400∼0.434) and F1 (0.503, 95%CI: 0.484∼0.505) metrics, demonstrating superior overall performance compared to the other models. Additionally, key features selected based on the AMFormer, such as age, province, waist circumference, urban or rural location, education level, employment status, weight, WHR, and BMI, played significant roles. CONCLUSION We used the AMFormer model for the first time in predicting new onset hypertension and achieved the best results among the six algorithms tested. Key features associated with new onset hypertension can be determined through this algorithm. The practice of machine learning algorithms can further enhance the predictive efficacy of diseases and identify risk factors for diseases.
Humans ; China/epidemiology* ; Hypertension/diagnosis* ; Machine Learning ; Male ; Female ; Middle Aged ; Adult ; Nutrition Surveys ; Algorithms ; Aged ; Risk Factors

In recent years，with the increase in environmental pollution，organisms are exposed to more internal and external oxidative stress factors than ever before.Nuclear factor erythroid 2-related factor 2（nuclear factor erythroid 2-related factor 2，NRF2），as a core transcription factor in response to oxidative stress，maintains cellular redox homeostasis by inducing the expression of various antioxidant factors.The nasal cavity，as the "gateway" of the respiratory tract，is often accompanied by oxidative stress（oxidative stress，OS）damage，leading to the occurrence of allergic rhinitis（allergic rhinitis，AR）.Recent studies have revealed some associations between the NRF2 signaling pathway and the mechanism of AR development.Activation of NRF2 provides a potential protective effect against AR，and some natural NRF2 activators have shown therapeutic potential in clinical experiments.Therefore，this article briefly reviews the relationship between NRF2 and AR，aiming to provide a new therapeutic target and perspective for the treatment of AR.
NF-E2-Related Factor 2/metabolism* ; Humans ; Rhinitis, Allergic/metabolism* ; Signal Transduction ; Oxidative Stress

The elevated polyamines, amine-rich molecules with diverse functions in pathophysiology processes, are implicated in contributing to tumorigenesis and progression. Whether and how they affect the efficacy of chemotherapy is incompletely understood. Our screening assays reveal that the supplement with a low dose of spermidine (Spd), one of the polyamines, enhances ferroptosis in prostate cancer cells as evidenced by increased lipid peroxidation and intracellular Fe²⁺ levels in vitro. Combination treatment with Spd and a low dose of ferroptosis inducer erastin synergistically augments anti-tumor efficacy with undetectable toxicity in mice. Analysis of RNA-seq data indicates that heme oxygenase 1 (HMOX1), an enzyme that catalyzes the cleavage of heme to release Fe²⁺, is significantly upregulated in response to Spd and erastin cotreatment. Spd mediated the hypusine modification of the eukaryotic initiation factor 5A (EIF5A) promotes the translation of the nuclear factor erythroid 2-related factor 2 (NRF2), subsequently leading to elevation of HMOX1. Moreover, Spd and erastin significantly inhibit proteasome activity which results in a decrease in proteasomal degradation of NRF2, although many proteasome-related genes are induced either by Spd or Spd plus erastin. Thus, in addition to its pro-oncogenic activity, the supplement of Spd improves antitumor activity in combination with ferroptosis inducers and offers an optional approach to cancer treatment.

Effective annotation of in vivo drug metabolites using liquid chromatography-mass spectrometry (LC-MS) remains a formidable challenge. Herein, a metabolic reaction-based molecular networking (MRMN) strategy is introduced, which enables the "one-pot" discovery of prototype drugs and their metabolites. MRMN constructs networks by matching metabolic reactions and evaluating MS² spectral similarity, incorporating innovations and improvements in feature degradation of MS² spectra, exclusion of endogenous interference, and recognition of redundant nodes. A minimum 75% correlation between structural similarity and MS² similarity of neighboring metabolites was ensured, mitigating false negatives due to spectral feature degradation. At least 79% of nodes, 49% of edges, and 97% of subnetworks were reduced by an exclusion strategy of endogenous ions compared to the Global Natural Products Social Molecular Networking (GNPS) platform. Furthermore, an approach of redundant ions identification was refined, achieving a 10%-40% recognition rate across different samples. The effectiveness of MRMN was validated through a single compound, plant extract, and mixtures of multiple plant extracts. Notably, MRMN is freely accessible online at https://yaolab.network, broadening its applications.

OBJECTIVE: To investigate the therapeutic potential of octaarginine (R8)-modified essential oil from Fructus Alpiniae zerumbet (EOFAZ) lipid microspheres (EOFAZ@^R8LM) for cardiovascular therapy. METHODS: EOFAZ@^R8LM was developed by leveraging the volatilization of EOFAZ and integrating it with the oil phase of LM, followed by surface modification with cell-penetrating peptide R8 to target the site of vascular endothelial injury. The therapeutic effects of this formulation in alleviating lipopolysaccharide-induced vascular endothelial inflammation were evaluated by assessing mitochondrial membrane potential (MMP), intracellular reactive oxygen species (ROS) levels, as well as inflammatory factors interleukin-6 (IL-6) and interleukin-1β (IL-1β) levels. RESULTS: EOFAZ@^R8LM effectively delivered EOFAZ to the site of injury and specifically targeted the mitochondria in vascular endothelial cells, thereby ameliorating mitochondrial dysfunction through regulation of MMP and reduction of intracellular ROS levels. Moreover, it attenuated the expression levels of IL-6 and IL-1β, exerting protective effects on the vascular endothelium. CONCLUSION Our findings highlight the significant therapeutic potential of EOFAZ@^R8LM in cardiovascular therapy, providing valuable insights for developing novel dosage forms utilizing EOFAZ for effective treatment against cardiovascular diseases.

Metabolic dysfunction-associated fatty liver disease (MAFLD), characterized by fatty acid overload, secondary chronic inflammation, and fibrosis, has become the most prevalent chronic liver disease globally. While no effective pharmacotherapy exists for MAFLD, mitigating inflammatory responses represents a promising approach to preventing the progression from steatosis to severe steatohepatitis. The NOD-like receptor family pyrin domain containing 3 (NLRP3) inflammasome, which detects endogenous danger and stress signals, has emerged as a significant target for inflammatory disease treatment, as transcriptional inactivation of its components demonstrates the therapeutic potential for MAFLD. Natural products targeting NLRP3 inflammasome activation have shown promising efficacy in MAFLD therapy. This review synthesizes the current understanding of NLRP3 inflammasome activation and therapeutic targets for NLRP3 homeostasis. Additionally, natural products reported to inhibit NLRP3 inflammasome for MAFLD improvement are categorized according to their mechanisms of action. The review also addresses limitations and future directions regarding natural products targeting NLRP3 inflammasome in MAFLD treatment. Enhanced understanding of NLRP3 inflammasome activation mechanisms in MAFLD and the identification of novel natural products supported by mechanistic research will significantly advance MAFLD treatment.
Humans ; NLR Family, Pyrin Domain-Containing 3 Protein/immunology* ; Inflammasomes/metabolism* ; Biological Products/therapeutic use* ; Animals ; Fatty Liver/immunology*

Objective To explore the presence and potential interactions of microbes and bacteriophages in the blood of healthy individuals by employing in-depth bioinformatics mining to analyze the structure and function of the blood microbi-ome ecosystem.Methods Blood plasma samples from 1 600 voluntary blood donors collected at Mianyang Central Blood Station from 2012 to 2018 were subjected to DNA extraction and library construction.High-throughput sequencing was con-ducted using the Illumina HiSeq 4500 platform,followed by extensive bioinformatics analysis.Microbial abundance in blood samples was analyzed using metagenomic analysis software such as Bowtie2,Trimmomatic and Kraken.Subsequent phage-ome analysis included sequence quality control,assembly,identification,clustering and functional annotation using software such as Megahit,geNomad,CheckV and eggNOG-mapper.Phylogenetic trees,species annotation and host analysis and pre-diction for the identified blood bacteriophages were constructed using iTOL,BLAST and PhaBOX software.Results Met-agenomic sequencing identified microbes across 36 phyla,151 orders,338 families,338 genera and 3 757 species in the plasma samples.At the species level,the most abundant species included Bacillus cereus,Lactobacillus murinus,L.johnso-nii,Faecalibacterium prausnitzii,B.thuringiensis,L.reuteri,Cutibacterium acnes,Dietzia sp.JS16-p6b,Mycoplasma hyo-rhinis,M.hyopneumoniae and Staphylococcus aureus.Through phageome analysis,202 viral Operational Taxonomic Units(vOTUs)were identified,revealing 24 types of bacteriophages.Host analysis using the viral host database completed mat-ches for 15 potential bacteriophage hosts,including Stenotrophomonas maltophilia,Rhodoferax lacus,Pseudoalteromonas marina,Thalassotalea loyana,Vibrio alginolyticus,V.tasmaniensis,V.vulnificus,Pseudomonas sp.,Agrobacterium sp.ST15.13/040,Enterococcus gallinarum,Flavobacterium sp.,Thermotoga naphthophila,Chryseobacterium sp.RU33C,L.acidipiscis and Neisseria mucosa.Conclusion The study of the healthy human blood microbiome and phageome reveals the presence of microbes and phages in the blood,which may have profound impacts on human health.

Objective This study aims to compare the accuracy of self-developed universal implant guide(SDG),3D printed digital guide(DG),and free hand(FH)simulated implantation in the posterior tooth area of dental models.Methods Ten junior dentists were selected to place three implants in the 35,37,and 46 tooth sites of the mandibular models(35,36,37,and 46 missing teeth)by using SDG,DG,and FH,and the process was repeated again to take the av-erage value.Cone beam computed tomography(CBCT)was used to evaluate the global coronal deviation,global apical deviation,depth deviation,and angular deviation between the actual position and preoperative planned position.Re-sults The coronal deviation and apical deviation of the three implant sites in the SDG group were not significantly dif-ferent from those in the two other groups(P>0.05).The depth deviation and angular deviation in the SDG group were smaller than those in the DG group(P<0.05)and FH group(P<0.05),respectively.All deviations at site 37 in the SDG group were not different from those at site 35(P>0.05),while the depth and angular deviation at site 37 in the DG group were higher than those at site 35(P<0.05).Conclusion The precision of the self-developed universal dental im-plant guide can meet the requirements of clinical posteri-or implantation.